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Update README.md

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@@ -112,12 +112,12 @@ video[0].save(
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  ```
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  <p align="center">
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- <img src="https://media.cnn.com/api/v1/images/stellar/prod/gettyimages-1961294831.jpg" raw=true width="50%"><br>
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  <em>Input image.</em>
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  </p>
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  <p align="center">
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- <img src="__assets__/video2.gif" raw=true><br>
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  <em>Generated Video.</em>
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  </p>
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@@ -125,7 +125,7 @@ video[0].save(
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  ## Results
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  <p align="center">
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- <img src="__assets__/eval crafter.png" raw=true align="center" width="50%">
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  <br>
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  <em> Kandinsky Video 1.1 achieves second place overall and best open source model on <a href="https://evalcrafter.github.io/">EvalCrafter</a> text to video benchmark. VQ: visual quality, TVA: text-video alignment, MQ: motion quality, TC: temporal consistency and FAS: final average score.
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  </em>
 
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  ```
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  <p align="center">
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+ <img src="https://media.cnn.com/api/v1/images/stellar/prod/gettyimages-1961294831.jpg" width="50%"><br>
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  <em>Input image.</em>
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  </p>
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  <p align="center">
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+ <img src="__assets__/video2.gif"><br>
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  <em>Generated Video.</em>
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  </p>
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  ## Results
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  <p align="center">
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+ <img src="__assets__/eval crafter.png" align="center" width="50%">
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  <br>
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  <em> Kandinsky Video 1.1 achieves second place overall and best open source model on <a href="https://evalcrafter.github.io/">EvalCrafter</a> text to video benchmark. VQ: visual quality, TVA: text-video alignment, MQ: motion quality, TC: temporal consistency and FAS: final average score.
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  </em>